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Clinical Trial Summary

This study is a multi-center, observational study aiming at developing a machine learning-based early detection model using prospectively collected liquid biopsy samples from clinically-annotated individuals.


Clinical Trial Description

Peripheral blood samples from participants with new diagnosis of pancreatic cancers will be collected to characterize the cancer-specific circulating signals by sequencing cell free DNA. A noninvasive test integrating machine learning algorithm will be trained and validated through a two-stage approach in recruited well-classified individuals, along with non-cancers without clinical diagnosis of cancer after routine medical screening. The performance of liquid biospy assays discovering cancer from non-cancer will be evaluated in participants with benign disease as well as average risk individuals. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06166147
Study type Observational
Source Fudan University
Contact Xian-Jun Yu, M.D., Ph.D.
Phone +86 21 64175590
Email yuxianjun@fudanpci.org
Status Not yet recruiting
Phase
Start date December 22, 2023
Completion date March 31, 2027

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